DocumentCode :
541674
Title :
Simulation of fractionated electrograms at low spatial resolution in large-scale heart models
Author :
Potse, Mark ; Kuijpers, Nico H L
Author_Institution :
Biomed. Eng. Dept., Maastricht Univ., Maastricht, Netherlands
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
849
Lastpage :
852
Abstract :
To compute extracellular potentials from transmembrane potentials an elliptic boundary-value problem must be solved. This must be done at a spatial resolution of 0.2 mm or better to avoid artefacts in the form of large spikes before and after major deflections. For macroscopic heart models, this leads to very large linear systems. Artefacts in low-resolution solutions are related to the restriction operator that is used to translate the sources from high to low resolution. Typically, this restriction is done by injecting transmembrane potentials. We propose to use transmembrane current as a source, with weighted summation rather than simple injection. We tested this method in a model of the human ventricles. We found that using the proposed scheme, a good visual match could be obtained between electrograms computed at 1-mm and 0.2-mm resolution, even in regions where strong sub-millimeter heterogeneity in tissue conductivity was present.
Keywords :
bioelectric potentials; biological tissues; biomembrane transport; boundary-value problems; cardiology; cardiovascular system; electrocardiography; physiological models; electrograms; elliptic boundary-value problem; extracellular potentials; fractionated electrograms; human ventricles; large-scale heart models; macroscopic heart models; spatial resolution; submillimeter heterogeneity; tissue conductivity; transmembrane current; transmembrane potentials; very large linear systems; weighted summation; Biological system modeling; Computational modeling; Electric potential; Extracellular; Heart; Mathematical model; Signal resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology, 2010
Conference_Location :
Belfast
ISSN :
0276-6547
Print_ISBN :
978-1-4244-7318-2
Type :
conf
Filename :
5738106
Link To Document :
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